Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe

Biogeosciences, Год журнала: 2025, Номер 22(1), С. 323 - 340

Опубликована: Янв. 16, 2025

Abstract. Wetland methane responses to temperature and precipitation are studied in a boreal wetland-rich region northern Europe using ecosystem process models. Six models (JSBACH-HIMMELI, LPX-Bern, LPJ-GUESS, JULES, CLM4.5, CLM5) compared multi-model means of atmospheric inversions from the Global Carbon Project upscaled eddy covariance flux results for their seasonal cycles regional fluxes. Two with contrasting response patterns, LPX-Bern JSBACH-HIMMELI, used as priors Tracker Europe–CH4 (CTE-CH4) order find out how assimilation concentration data changes estimates this alters interpretation precipitation. Inversion moves wetland emissions both towards co-limitation by Between 2000 2018, periods high and/or often resulted increased emissions. However, dry summer 2018 did not result despite temperatures. The show strong (51 %–91 % variance explained both). month highest varies May September among means, inversions, observations agree on maximum co-limited setup different emission components (peatland emissions, mineral land fluxes) has an important role building up patterns. Considering significant differences models, it is essential pay more attention representation wet soils periodic flooding which contribute seasonality magnitude realistic dependence peat soil fluxes also important. Furthermore, use process-based descriptions simulate climate drivers.

Язык: Английский

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Advancements and opportunities to improve bottom-up estimates of global wetland methane emissions

Environmental Research Letters, Год журнала: 2025, Номер 20(2), С. 023001 - 023001

Опубликована: Янв. 22, 2025

Abstract Wetlands are the single largest natural source of atmospheric methane (CH 4 ), contributing approximately 30% total surface CH emissions, and they have been identified as uncertainty in global budget based on most recent Global Carbon Project report. High uncertainties bottom–up estimates wetland emissions pose significant challenges for accurately understanding their spatiotemporal variations, scientific community to monitor from space. In fact, there large disagreements between versus top–down inferred inversion concentrations. To address these critical gaps, we review development, validation, applications well how used inversions. These estimates, using (1) empirical biogeochemical modeling (e.g. WetCHARTs: 125–208 TgCH yr −1 ); (2) process-based WETCHIMP: 190 ± 39 (3) data-driven machine learning approach UpCH4: 146 43 ). Bottom–up subject (∼80 Tg ranges different do not overlap, further amplifying overall when combining multiple data products. substantial highlight gaps our biogeochemistry inundation dynamics. Major tropical arctic complexes regional hotspots emissions. However, scarcity satellite over tropics northern high latitudes offer limited information inversions improve estimates. Recent advances measurements fluxes FLUXNET-CH ) across a wide range ecosystems including bogs, fens, marshes, forest swamps provide an unprecedented opportunity existing We suggest that continuous long-term at representative wetlands, fidelity mapping, combined with appropriate framework, will be needed significantly There is also pressing unmet need fine-resolution high-precision observations directed wetlands.

Язык: Английский

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Submersed Macrophyte Density Regulates Aquatic Greenhouse Gas Emissions

Journal of Geophysical Research Biogeosciences, Год журнала: 2023, Номер 128(10)

Опубликована: Окт. 1, 2023

Abstract Shallow freshwater ecosystems emit large amounts of greenhouse gases (GHGs), such as carbon dioxide (CO 2 ) and methane (CH 4 ), yet emissions are highly variable. The role that aquatic macrophytes play in regulating GHG is uncertain despite their ability to dominate shallow waterbodies. Here, we studied the effects submersed macrophyte ( Ceratophyllum demersum density on CO CH concentrations fluxes. We conducted a 61‐days experiment using mesocosms containing one following C . treatments: 0, 10, 20, or 30 individual shoots n = 3). found high had highest surface water while there was no significant difference low medium densities plant control. treatment lost biomass over course experiment, indicating die‐off additions organic matter sediment. High loading dissolved oxygen likely stimulated production treatment. Our results emphasize periods growth dieback important emissions, which may help explain why waterbodies variable sources GHGs atmosphere.

Язык: Английский

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Common use herbicides increase wetland greenhouse gas emissions

The Science of The Total Environment, Год журнала: 2024, Номер 933, С. 172881 - 172881

Опубликована: Май 1, 2024

Wetlands play a disproportionate role in the global climate as major sources and sinks of greenhouse gases. Herbicides are most heavily used agrochemicals frequently detected aquatic ecosystems, with glyphosate 2,4-Dichlorophenoxyacetic acid (2,4-D), representing two commonly worldwide. In recent years, these herbicides being mixtures to combat herbicide-tolerant noxious weeds. While it is well documented that herbicide use for agriculture expected increase, their indirect effects on wetland gas dynamics virtually unknown. To fill this knowledge gap, we conducted factorial microcosm experiment using low, medium, high concentrations or 2,4-D, individually combination investigate methane, carbon dioxide, nitrous oxide fluxes. We predicted mixed treatments would have synergistic effect gases compared individual herbicides. Our results showed dioxide flux rates cumulative emissions significantly increased from both treatments, whereas methane were less affected. This study suggests extensive 2,4-D may increase wetlands, which could implications change.

Язык: Английский

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Global natural and anthropogenic methane emissions with approaches, potentials, economic costs, and social benefits of reductions: Review and outlook

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123568 - 123568

Опубликована: Дек. 4, 2024

Язык: Английский

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Agricultural Land Use Impacts Aquatic Greenhouse Gas Emissions From Wetlands in the Canadian Prairie Pothole Region

Global Biogeochemical Cycles, Год журнала: 2025, Номер 39(3)

Опубликована: Март 1, 2025

Abstract The Prairie Pothole Region (PPR) is the largest wetland complex in North America, with millions of wetlands punctuating landscapes Canada and United States. Here, have been dramatically impacted by agricultural land use, unclear implications for regional to global greenhouse gas (GHG) emissions budgets. By surveying across all three Canadian prairie provinces PPR, we show that patterns carbon dioxide (CO 2 ), methane (CH 4 nitrous oxide (N O) from aquatic habitats differ among embedded cropland versus perennial landcover. Wetlands cropped had double diffusive (20.6 ± 31.5 vs. 9.4 17.3 g CO ‐ eq m −2 d −1 ) largely driven CH . Structural equation modeling showed GHGs responded differently surrounding landscape properties. Emissions were most sensitive responding positively elevated phosphorus content lower sulfate settings, despite higher organic matter landscapes. Aquatic N O negligible, while high, but not strongly related use. While our estimates PPR high (18.2 41.4 mmol accounting fluxes vegetated soil would lead whole‐wetland rates are comparable other biomes. Our study represents an important step toward understanding emission responses use wetland‐rich

Язык: Английский

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Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET‐CH₄ Sites Using Wavelet Analyses

Journal of Geophysical Research Biogeosciences, Год журнала: 2023, Номер 128(11)

Опубликована: Ноя. 1, 2023

Abstract Process‐based land surface models are important tools for estimating global wetland methane (CH 4 ) emissions and projecting their behavior across space time. So far there no performance assessments of model responses to drivers at multiple time scales. In this study, we apply wavelet analysis identify the dominant scales contributing uncertainty in frequency domain. We evaluate seven 23 eddy covariance tower sites. Our study first characterizes site‐level patterns freshwater CH fluxes (FCH different A Monte Carlo approach was developed incorporate flux observation error avoid misidentification that dominate error. results suggest (a) significant model‐observation disagreements mainly multi‐day (<15 days); (b) most can capture variability monthly seasonal (>32 days) boreal Arctic tundra sites but have bias temperate tropical/subtropical sites; (c) errors exhibit increasing power spectrum as scale increases, indicating biases <5 days could contribute persistent systematic on longer scales; (d) differences pattern related structure (e.g., proxy production). evaluation suggests need accurately replicate FCH variability, especially short scales, future developments.

Язык: Английский

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Tracking changes in wetlandscape properties of the Lake Winnipeg Watershed using Landsat inundation products (1984–2020)

International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2025, Номер 136, С. 104376 - 104376

Опубликована: Янв. 21, 2025

Язык: Английский

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Linking wetlands to relatively permanent flowing waters: a conterminous United States geospatial analysis

Wetlands Ecology and Management, Год журнала: 2025, Номер 33(2)

Опубликована: Март 25, 2025

Язык: Английский

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Jump in Tropospheric Methane Concentrations in 2020–2021 and Slowdown in 2022–2024: New Hypotheses on Causation

Atmosphere, Год журнала: 2025, Номер 16(4), С. 406 - 406

Опубликована: Март 31, 2025

Earth’s atmospheric methane (CH4) concentration has risen more than 162% since pre-industrial levels in the mid-18th century, and about 30% of rise global temperatures era is due to CH4 The build-up atmosphere 2020–2022 was largest systematic measurements started 1983, double average yearly growth rate measured over previous 17 years (15.2 ppb yr−1 vs. 5.71 yr−1, respectively). During 2020, with a 14.81 level broke record (which set 1991), it broken again immediately following year, an increase 17.64 2021. For 2022, final estimate 13.25 fourth annual rate. most recent explanations for this surge tropospheric include increased emissions from tropical wetlands, floods, temperatures. 2020 part 2021, reduction oxidative capacity COVID-19 lockdowns also proposed. Our main hypothesis that 2020–2021 may be caused by reduced sulfate emissions, which have been shown decrease methanotrophy methanogenesis rates wetlands. Then, slowdown 2022–2024, our hypotheses are wetlands remained high, but there even higher multiple other parameters detailed article. This perspective review paper mainly qualitative; demonstrates coupled climate–chemistry models will need integrate biochemistry, as evolution composition multifactorial non-linear.

Язык: Английский

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